AI‑Enhanced LCA Dashboard – Indian Industrial Decarbonisation

Models PINN · Transformer · (GNN‑ready) Sectors Steel · Cement · Aluminium

This dashboard summarizes the Life Cycle Assessment (LCA) optimization results for Indian heavy industry sectors, using physics‑informed neural networks and time‑series models trained on Indian‑context data.

Improvement Opportunities

ML‑optimized LCA
Total Reduction Potential
82.9%
Across priority sectors
Sectors Optimized
3
Steel · Cement · Aluminium
Model Types
2
PINN & Transformer
Grid CI Range
0.70–1.00
kg CO₂/kWh (state‑level)
Sector‑level optimization summary
Sector Current Emissions
(t CO₂/t product)
Optimized Emissions
(t CO₂/t product)
Reduction Priority Key Opportunity
Steel 1.8 0.55 ‑69.4% High H₂‑DRI process optimization & grid‑aware scheduling
Cement 0.9 0.575 ‑36.1% Medium CCUS integration & clinker substitution
Aluminium 16.0 0.5 ‑96.9% High Smelter electrification & closed‑loop recycling

Sector Comparison & Optimization Potential

Baseline vs ML‑optimized
Sector Baseline (t CO₂/t) Optimized (t CO₂/t) Reduction % Notes
Steel 1.8 0.55 69.4% H₂‑DRI + high renewable share
Cement 0.9 0.575 36.1% CCUS + SCMs
Aluminium 16.0 0.5 96.9% Hydro‑rich grids & recycling

Grid Carbon Intensity

State‑level CI (kg CO₂/kWh)
Mean (sample)
0.85
Typical coal‑heavy Indian grid
Best state
0.70
High renewables (e.g., Karnataka)
Worst state
1.00
Coal‑dominated (e.g., Jharkhand)
Std dev
0.09
Inter‑state spread

These values are derived from sample state profiles in IndianGridDataLoader and can be replaced with scraped or utility‑supplied data as it becomes available.

Generated Charts & Images

From notebooks / outputs

The following chart slots map to plots generated by visualize_indian_results.ipynb and other visualization utilities. Save your PNGs into outputs/plots/ and wire them here.

Steel LCA Breakdown
outputs/plots/steel_lca_breakdown.png
Cement LCA Breakdown
outputs/plots/cement_lca_breakdown.png
Sector Comparison
outputs/plots/sector_comparison.png